“but found at least two devices, cpu and cuda:0”这个错误提示通常出现在使用PyTorch等深度学习框架时,尤其是在处理设备(如CPU或GPU)配置时出现问题。下面是对这个提示的详细解释、可能导致的情境以及解决方案: 1. 错误提示的含义 这个提示表明,当尝试将某些操作或模型分配给特定设备时,系统检测到了多个可用的...
解决RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cp 报错 RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat2 in method wrapper_mm) 1....
1.使用deepspeed --num_gpus=1 app.py,依然报错,问题如下: 2.我看到相似问题中的解决办法:deepspeed --num_gpus=1 app.py --use_ram_optimized_load false 报错问题显示: Contributor research4pan commented Apr 12, 2023 • edited Thanks for providing more information! You may change line 29 of ...
Do you get good results from using that batch_size and micro_batch_size? shogoinadomimentioned this issueMay 10, 2023 rcshubhadeepmentioned this issueJul 6, 2023 RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!rmihaylov/...
Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select) 数据不在同一设备 将device = d2l.try_gpu() 改为device = torch.device('cpu')...
1 是置信度。 实际上,.cfg 文件中 filters 参数未正确设置本身不会直接导致 "Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!" 的问题,但它可能间接引发错误,导致在某些计算中,特定张量没有被移动到 GPU,造成设备不匹配的错误。发布...
1 I running the python code in the Google Colab. The code is related to execution a Spiking Neural Networks. When I plotting neuron's activations, there is a runtime error: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument tensors in method wrapper_CUDA_cat) 这个错误再次指出了在执行 `torch.cat` 操作时,参与操作的张量不在同一个设备上。错误信息显示,尝试将位于 `cu...
‘Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!’ 解决 方法1:x.to(device) 把device 作为一个可变参数,推荐使用argparse进行加载: 使用gpu时: device='cuda'x.to(device)# x是一个tensor,传到cuda上去 ...
_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000 --model-path liuhaotian/llava-v1.5-13b", raise the problem of "RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!